Advancing Personalized Strategies for Obesity Prevention Through Biologically and Behaviorally Tailored Interventions: The Strategic Framework for the BETTER4U Initiative

The BETTER4U project (Preventing Obesity through Biologically and bEhaviorally Tailored inTERventions for You) is a Horizon Europe initiative (GAP 101080117) dedicated to advancing our understanding of the multifaceted etiology of obesity. The project aims to move beyond current knowledge of obesity-related determinants by examining the system-level interactions between biological (including genetics), lifestyle behaviors (physical activity, nutrition, sedentary behaviors), and contextual factors, including social, economic, psychological, and environmental factors. BETTER4U advances from traditional approaches by exploring determinants embedded within interconnected systems and biological frameworks. It seeks to identify and integrate polygenic risks, omics-based markers, lifestyle and contextual factors using data from biobanks and previous landmark studies. This comprehensive approach enables the refinement of Artificial Intelligence (AI) algorithms, enhancing individualization in the design of tailored interventions. The project employs real-time behavioral monitoring tools and remote technologies to track individual behaviors and metabolic responses, allowing for the development of personalized obesity prevention strategies. By doing so, BETTER4U aims to bridge the gap between research and practical application, enabling the design of interventions that are biologically and behaviorally informed. The anticipated outcomes of BETTER4U include advanced AI models that support the development of sophisticated, targeted interventions for individuals at risk of overweight or obesity. These models will provide actionable insights into how personalized lifestyle adjustments in lifestyle behaviors, such as diet and physical activity, can effectively mitigate weight gain trajectories across the lifespan. Ultimately, the project seeks to empower individuals and support precision medicine approaches in obesity prevention and treatment through active participant engagement.

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Publication Details

Journal
Obesity Reviews
Published
2026-02-22
DOI
https://doi.org/10.1111/obr.70083
Citations
1
Primary Topic
Nutrition, Genetics, and Disease
Type
article
Field-Weighted Citation Impact
30.93
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article

Advancing Personalized Strategies for Obesity Prevention Through Biologically and Behaviorally Tailored Interventions: The Strategic Framework for the BETTER4U Initiative

Nick Verhaege, Anastasios N. Delopoulos, Stavroula Mougiakakou, Lisa Heggie et al.
1 citations
Obesity Reviews
Nutrition, Genetics, and Disease
30.93
article

Advancing Personalized Strategies for Obesity Prevention Through Biologically and Behaviorally Tailored Interventions: The Strategic Framework for the BETTER4U Initiative

Nick Verhaege, Anastasios N. Delopoulos, Stavroula Mougiakakou, Lisa Heggie, Maria Kafyra, Ioannis Papathanail, Panagiotis Moulos, Stephan Kampshoff, Chrysa Episkopou, Panagiotis Symianakis, Susanne Bruins, Darya Silchenko, Delfien Gryspeerdt, Eva Karaglani, Christos Diou, René Pool, Dorret Boomsma, Ruben Willems, Hande Özkayagan Prändl, Vasiliki Vavouraki, Yannis Manios, George V. Dedoussis, Karri Silventoinen, Anders Eriksson, Paulina Krzywicka, Jaakko Kaprio, Aleksandra Luszczynska, Saskia Kaltenbrunner
article en
1 citations

Abstract

The BETTER4U project (Preventing Obesity through Biologically and bEhaviorally Tailored inTERventions for You) is a Horizon Europe initiative (GAP 101080117) dedicated to advancing our understanding of the multifaceted etiology of obesity. The project aims to move beyond current knowledge of obesity-related determinants by examining the system-level interactions between biological (including genetics), lifestyle behaviors (physical activity, nutrition, sedentary behaviors), and contextual factors, including social, economic, psychological, and environmental factors. BETTER4U advances from traditional approaches by exploring determinants embedded within interconnected systems and biological frameworks. It seeks to identify and integrate polygenic risks, omics-based markers, lifestyle and contextual factors using data from biobanks and previous landmark studies. This comprehensive approach enables the refinement of Artificial Intelligence (AI) algorithms, enhancing individualization in the design of tailored interventions. The project employs real-time behavioral monitoring tools and remote technologies to track individual behaviors and metabolic responses, allowing for the development of personalized obesity prevention strategies. By doing so, BETTER4U aims to bridge the gap between research and practical application, enabling the design of interventions that are biologically and behaviorally informed. The anticipated outcomes of BETTER4U include advanced AI models that support the development of sophisticated, targeted interventions for individuals at risk of overweight or obesity. These models will provide actionable insights into how personalized lifestyle adjustments in lifestyle behaviors, such as diet and physical activity, can effectively mitigate weight gain trajectories across the lifespan. Ultimately, the project seeks to empower individuals and support precision medicine approaches in obesity prevention and treatment through active participant engagement.

Obesity ReviewsVol. 27(3)
University of Vienna (AT), Bern University of Applied Sciences (CH), University of Helsinki (FI), Queen Mary University of London (GB), Aristotle University of Thessaloniki (GR), European Food Information Council (BE), Academy of Nutrition and Dietetics (US), Hellenic Mediterranean University (GR), Ghent University (BE), Harokopio University of Athens (GR), Uniwersytet SWPS (PL), Institute for Molecular Medicine Finland (FI), European Association for the Study of Obesity (GB), William Harvey Research Institute (GB), Genetic Analysis (Norway) (NO), University of Tartu (EE), Alexander Fleming Biomedical Sciences Research Center (GR), Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 1%
Nutrition, Genetics, and Disease
30.93
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